The statistical analyses of the data were made using the SPSS Statistics Base V 23 version of Statistical Package for the Social Sciences and AMOS 21.0 software. For evaluating the data of the study, descriptive statistical methods (frequency, percentage, mean and standard deviation) were used; to test the differences between groups, t-test for independent variables and one-way variance analysis were performed; for comparisons between groups, the post-hoc Bonferroni and Tukey tests for multiple comparisons were utilised. In the research, the path analysis method was applied to test the hypotheses of the model created to determine the relationship of social media addiction with psychological problems and sleep quality. The results were evaluated at a 95% confidence interval and at p < 0.05, p < 0.01 and p < 0.001 significance levels.
Spss statistics base v 23
Manufactured by IBM
SPSS Statistics Base V 23 is a data analysis software that provides a range of statistical and analytical capabilities. It is designed to help users analyze and interpret data efficiently. The software offers a user-friendly interface and a comprehensive set of statistical tools to assist in data management, exploration, and modeling.
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Lab products found in correlation
3 protocols using spss statistics base v 23
1
Examining Social Media Addiction
2
Statistical Analysis of Social Science Data
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Statistical analyses of the data were made using the SPSS Statistics Base V 23 version of the Statistical Package for the Social Sciences software licensed by Akdeniz University. Descriptive statistics, independent samples t-test and one-way ANOVA analysis were used to analyze the data, and the Tukey test was used to determine the differences between the variables. Normal distribution was evaluated by Kolmogorov-Smirnov test, and parametric tests were used since the numerical variables were normally distributed. A value of p < 0.05 was considered statistically significant.
3
Infertility Predictors and Outcomes
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The data were analysed with the support of statisticians using the SPSS Statistics Base v23 program package (SPSS Inc., Chicago, IL). The distribution of variables was tested for normality with kurtosis and skewness. The sociodemographic and obstetric characteristics were reported to use numbers, percentages, Chi-square and Student's t-test according to infertility type. The Chi-square test was used to find whether there was a difference between the spontaneous pregnancies and the infertility-treated pregnancies in terms of categorical variables. The correlation test was used to determine the relationship and level of relationship between continuous variables. Also, Student's t-test was used to determine whether there was a difference between spontaneous pregnancies and infertility-treated pregnancies in terms of continuous variables.
Multivariate regression analysis was separately applied using the PAI, PSCS and PSEQ as the dependent variables. Independent variables were selected using the forward stepwise method. The means, β, t and p values are given in the tables of multivariate regression analysis. The statistical significance value was taken as p < .05.
Multivariate regression analysis was separately applied using the PAI, PSCS and PSEQ as the dependent variables. Independent variables were selected using the forward stepwise method. The means, β, t and p values are given in the tables of multivariate regression analysis. The statistical significance value was taken as p < .05.
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